PRACTICAL SAS TRAINING COURSE FOR BEGINNERS
Description
SASCrunch Practical SAS Training Course for Beginners is an interactive SAS training course that allows you to learn and practice SAS at the same time and on the same screen.
It includes 7 complete modules with 150+ coding exercises and 5 coding projects.
You can learn SAS from scratch and become an intermediate SAS programmer in just 30 days.
Highlights
- Interactive training
- 7 modules
- 150 exercises
- 5 projects
- 1000+ projects submitted
- 7-day money back guarantee
Course Outline
Module 0: How to start (free)
- Set up the training
Module 1: SAS Interface (free)
- Code Tab
- Log Tab
- Error and Warning Message
- Library
- Data Set
- Summary
- Final Test
- End of Module
Module 2: Data Set (free)
- Create a Data Set
- Programming Tips #1
- Programming Tips #2
- Character Variable
- Creating Multiple Observations
- Programming Tips #3
- Character Variable II
- Data Truncation
- Copying Data Set
- Subsetting Data Set
- Assessing Other Libraries
- Programming Tips #4
- Accessing your Own Data Set I
- Accessing your Own Data Set II
- Saving a Data Set
- Exporting Data Set I
- Exporting Data Set II
- Exporting Data Set III
- Summary
- Final Test
- Coding Project
- End of Module
Module 3: SAS Functions
- Mathematical Operators
- Programming Tips #5
- SUM Function
- MEAN, MIN and MAX Functions
- RAND Function
- ROUND Function
- FLOOR Function
- SUBSTR Function
- LENGTH Function
- Combining Character Variables
- INDEX Function
- INDEXC Function
- UPCASE, LOWCASE and PROPCASE Functions
- RENAME, KEEP and DROP Statements
- If-then statement
- Summary
- Final Test
- Coding Project
- End of Module
Module 4: Variable Attributes
- The 6 Attributes of SAS Variables
- Proc Contents
- Programming Tips #6
- Attribute #1: Variable Name
- Attribute #2: Variable Label
- Attribute #3: Variable Type (Numeric)
- Attribute #3: Variable Type (Character)
- Attribute #4: Variable Length
- Attribute #5: Variable Format
- Programming Tips #7
- The Format of W.D
- Comma. and Dollar. Format
- Understand how SAS keep track of Date and Time
- Date & Time Format
- Creating your own format
- (Best.) Format
- Summary of Variable Formats
- PUT Function
- INPUT Function
- Programming Tips #8
- Summary
- Final Test
- End of Module
Module 5: Data Manipulations
- Sorting the Data Set
- Creating Output Data Set
- Programming Tips #9
- Removing Duplicate Observations
- Flagging Extreme Values
- Flagging Extreme Values II
- Data Set Concatenation
- Two (2) common issues when concatenating data sets
- Merging data sets
- Identifying the Merging Variable(s)
- Programming Tips #10
- Dealing with unmatched observations
- (In=) Option
- Transposing Data Set
- Tips for Proc Transpose
- Reverse Transpose
- Variable _n_ and _error_
- Retain Statement
- Assigning initial values with Retain Statement
- (+) Expression
- Summary
- Final Test
- Coding Project I
- Coding Project II
- Coding Project III
- End of Module
Module 6: Data Analysis
- Proc Univariate
- Programming Tips #11
- Normality Test
- Analyzing Multiple Segments
- Output Statement
- Programming Tips #12
- Proc Means
- Additional Statistics
- Classification Variable
- Programming Tips #13
- Working with Multiple Analysis Variables
- Output Statement II
- Output Data Set
- Proc Freq
- Histogram
- WEIGHT Statement
- N-way Crosstabulation Table
- (OUT=) Option
- Summary
- Final Test
- End of Module
Module 7: Hypothesis Testing Using SAS
- Introduction to Hypothesis Testing
- One-sample t-test
- One-sided t-test
- Paired t-test
- Two-sample t-test
- ODS Output
- Chi-square Test of Independence
- Correlation Analysis
- Programming Tips #14
- Summary
- Final Test
- Coding Project
- End of Training